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Recruiting NCT07803315

Hyperspectral Imaging in Robot-Assisted Partial Nephrectomy

Conditions: Kidney Neoplasm, Renal Mass up to 7cm

Sex: All
Ages: 18 Years – N/A
Healthy volunteers: No
Enrollment: 60
Sponsor: University of Leipzig

Location: University Hospital Leipzig Leipzig

Summary

The goal of this prospective observational study is to learn about the use of a novel imaging technique called hyperspectral imaging in adult participants who are having surgery for removing a tumor from their kidney. Hyperspectral imaging works by shining light on a structure (in this case, the kidney tissue with the tumor) and capturing how it reflects hundreds of very narrow color bands, including ones the human eye can't see. These patterns depend on the composition of the tissue and for example how well blood is flowing through the tissue. By studying these patterns, the investigators want to understand if this technique can be helpful for the surgery where only the part of the kidney with the tumor is removed. The main questions it aims to answer are: * Can hyperspectral imaging show the areas of blood flow in the kidney during surgery? * Is there a connection between the detected patterns of light and the type of kidney tumor? The imaging will happen during the already planned surgery and the participant does not need to undergo any additional tests.

Eligibility Criteria

Inclusion Criteria: * Patients with a kidney tumor ≤7cm * planned robot-assisted partial nephrectomy * age ≥ 18 years Exclusion Criteria: * patients with a previous surgery on the affected kidney * patients with a fully intrarenal/endophytic tumor without an exophytic component * previous malignancy with ongoing or planned nephrotoxic chemotherapy * current immunosuppression (e.g., organ transplantation, leukemia) * pregnancy, lactation, or women who wish to have children * inability to give informed consent

Interested in this study? View the official listing for contact and enrollment details.

View on ClinicalTrials.gov

Source: ClinicalTrials.gov (NCT07803315). StuddyBuddy aggregates publicly available trial information.